Data Quality Assurance Analyst - Metro Vancouver Regional District, Canada - Voronoi Health Analytics Incorporated

Description

This position is ideally geared toward individuals with life sciences, kinesiology or biomedical physiology backgrounds and presents a unique and exciting opportunity to learn about the field of artificial intelligence in medical imaging.

The role focuses on labeling and handling medical image data to build ground-truth data sets for training machine-learning algorithms.

Anyone with a strong interest in the field of medicine, anatomy & physiology, health technology and artificial intelligence in is encouraged to apply As the position pertains to a specialized technology field, ample on-the-job training is provided.

Responsibilities:

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Data labeling and quality control_

• Examine medical images to assess and report on prediction quality
• Use anatomical knowledge to analyze and correct inaccurate medical image segmentations
• Recognize and flag problematic data and provide feedback on data quality to respective team members

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Interaction with in-house medical image segmentation and project management software_

• Daily progress tracking of jobs
• Use various medical image processing tools related data quality assurance

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Communicating and working in a team environment_

• Work with teammates and supervisors to troubleshoot and analyze issues
• Be insync with project managers
• Recognize deadlines and critical team scenarios

Qualifications:

• Prior course work or Projects with medical images
• Excellent communication skills and a teamplayer spirit are a must
• Strong attention to detail
• Strong interest in learning about health and technology
• Well developed work consistency and time management skills
• Good computer literacy is recommended
• Knowledge of human anatomy is recommended
• Previous course work relating to or experience working with medical images is an asset

Salary:
$16.75-$18.00 per hour

Expected hours: 40 per week


Flexible Language Requirement:

• French not required

Schedule:

• 8 hour shift
• Monday to Friday

Education:

• Bachelor's Degree (preferred)

Work Location:
In person